Jeffrey A. Vaughan
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Software top 5%
- Co-authors
- Steve ZdancewicAaron BohannonBenjamin C. PierceTodd MillsteinJinseong JeonJeffrey S. FosterKristopher MicinskiLimin Jia
- Topics
- Security and Verification in Computing (12 papers)Distributed systems and fault tolerance (6 papers)Advanced Malware Detection Techniques (6 papers)
- Journals
- ACM SIGPLAN NoticesDigital Access to Scholarship at Harvard (DASH) (Harvard University)Digital Repository at the University of Maryland (University of Maryland College Park)
- Partner nations
- United States
In The Last Decade
Jeffrey A. Vaughan
14 papers receiving 453 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 306
- Signal Processing 262
- Information Systems 224
- Computer Networks and Communications 184
- Software 104
Countries citing papers authored by Jeffrey A. Vaughan
This map shows the geographic impact of Jeffrey A. Vaughan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jeffrey A. Vaughan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey A. Vaughan more than expected).
Fields of papers citing papers by Jeffrey A. Vaughan
This network shows the impact of papers produced by Jeffrey A. Vaughan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jeffrey A. Vaughan. The network helps show where Jeffrey A. Vaughan may publish in the future.
Co-authorship network of co-authors of Jeffrey A. Vaughan
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey A. Vaughan. A scholar is included among the top collaborators of Jeffrey A. Vaughan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey A. Vaughan. Jeffrey A. Vaughan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 157 | |
| 2 | 6 | |
| 3 | Dr. Android and Mr. Hide: Fine-grained security policies on unmodified Android | 28 |
| 4 | 23 | |
| 5 | Application-centric security policies on unmodified Android | 11 |
| 6 | 4 | |
| 7 | Aura: programming with authorization and audit | 1 |
| 8 | AURA: Preliminary Technical Results | 1 |
| 9 | Evidence-Based Audit, Technical Appendix | 1 |
| 10 | 52 | |
| 11 | 38 | |
| 12 | 37 | |
| 13 | 23 | |
| 14 | 99 |
About Jeffrey A. Vaughan
Jeffrey A. Vaughan is a scholar working on Signal Processing, Artificial Intelligence and Software, having authored 14 papers that have together received 481 indexed citations. Recurring topics across this work include Security and Verification in Computing (12 papers), Distributed systems and fault tolerance (6 papers) and Advanced Malware Detection Techniques (6 papers). The work is most often cited by research in Software (104 citations), Signal Processing (262 citations) and Information Systems (224 citations). Jeffrey A. Vaughan has collaborated with scholars based in United States. Frequent co-authors include Steve Zdancewic, Aaron Bohannon, Benjamin C. Pierce, Todd Millstein, Jinseong Jeon, Jeffrey S. Foster, Kristopher Micinski, Limin Jia, Yun Zhao and Stephen Chong. Their work appears in journals such as ACM SIGPLAN Notices, Digital Access to Scholarship at Harvard (DASH) (Harvard University) and Digital Repository at the University of Maryland (University of Maryland College Park).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.